Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
bujeti.com currently has low AEO readiness with an overall score of 23/100, driven by major discoverability and trust gaps across machine-readable signals. Core AI-facing assets are missing, including llms.txt (0/10), Schema.org structured data (0/10), FAQ coverage (0/10), internal linking structure (0/10), and schema depth (0/10). While the site shows strong technical positives in canonical strategy (10/10), clean crawlable HTML (8/10), and fact density (8/10 with 276 quantitative data points), these strengths are not packaged in formats LLM systems can reliably parse and cite. The fastest path to improvement is to add structured data, AI crawler guidance, and extractable Q&A content with freshness metadata.
Scoreboard
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Top Opportunities
Improve Your Score
Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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